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- name: "mobilenet_v2"
- layer {
- name: "data"
- type: "Data"
- top: "data"
- top: "label"
- include {
- phase: TRAIN
- }
- transform_param {
- mirror: true
- mean_file: "mean.binaryproto"
- }
- data_param {
- source: "train.lmdb"
- batch_size: 32
- backend: LMDB
- }
- }
- layer {
- name: "mobilenet_v2"
- type: "MemoryData"
- top: "data"
- top: "label"
- memory_data_param {
- batch_size: 32
- channels: 3
- height: 224
- width: 224
- }
- include {
- phase: TEST
- }
- }
- layer {
- name: "conv1"
- type: "Convolution"
- bottom: "data"
- top: "conv1"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 32
- bias_term: false
- pad: 1
- kernel_size: 3
- stride: 2
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv1/bn"
- type: "BatchNorm"
- bottom: "conv1"
- top: "conv1/bn"
- }
- layer {
- name: "conv1/scale"
- type: "Scale"
- bottom: "conv1/bn"
- top: "conv1/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu1"
- type: "ReLU"
- bottom: "conv1/bn"
- top: "conv1/bn"
- }
- layer {
- name: "conv2_1/expand"
- type: "Convolution"
- bottom: "conv1/bn"
- top: "conv2_1/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 32
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv2_1/expand/bn"
- type: "BatchNorm"
- bottom: "conv2_1/expand"
- top: "conv2_1/expand/bn"
- }
- layer {
- name: "conv2_1/expand/scale"
- type: "Scale"
- bottom: "conv2_1/expand/bn"
- top: "conv2_1/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu2_1/expand"
- type: "ReLU"
- bottom: "conv2_1/expand/bn"
- top: "conv2_1/expand/bn"
- }
- layer {
- name: "conv2_1/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv2_1/expand/bn"
- top: "conv2_1/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 32
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 32
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv2_1/dwise/bn"
- type: "BatchNorm"
- bottom: "conv2_1/dwise"
- top: "conv2_1/dwise/bn"
- }
- layer {
- name: "conv2_1/dwise/scale"
- type: "Scale"
- bottom: "conv2_1/dwise/bn"
- top: "conv2_1/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu2_1/dwise"
- type: "ReLU"
- bottom: "conv2_1/dwise/bn"
- top: "conv2_1/dwise/bn"
- }
- layer {
- name: "conv2_1/linear"
- type: "Convolution"
- bottom: "conv2_1/dwise/bn"
- top: "conv2_1/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 16
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv2_1/linear/bn"
- type: "BatchNorm"
- bottom: "conv2_1/linear"
- top: "conv2_1/linear/bn"
- }
- layer {
- name: "conv2_1/linear/scale"
- type: "Scale"
- bottom: "conv2_1/linear/bn"
- top: "conv2_1/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "conv2_2/expand"
- type: "Convolution"
- bottom: "conv2_1/linear/bn"
- top: "conv2_2/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 96
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv2_2/expand/bn"
- type: "BatchNorm"
- bottom: "conv2_2/expand"
- top: "conv2_2/expand/bn"
- }
- layer {
- name: "conv2_2/expand/scale"
- type: "Scale"
- bottom: "conv2_2/expand/bn"
- top: "conv2_2/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu2_2/expand"
- type: "ReLU"
- bottom: "conv2_2/expand/bn"
- top: "conv2_2/expand/bn"
- }
- layer {
- name: "conv2_2/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv2_2/expand/bn"
- top: "conv2_2/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 96
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 96
- stride: 2
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv2_2/dwise/bn"
- type: "BatchNorm"
- bottom: "conv2_2/dwise"
- top: "conv2_2/dwise/bn"
- }
- layer {
- name: "conv2_2/dwise/scale"
- type: "Scale"
- bottom: "conv2_2/dwise/bn"
- top: "conv2_2/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu2_2/dwise"
- type: "ReLU"
- bottom: "conv2_2/dwise/bn"
- top: "conv2_2/dwise/bn"
- }
- layer {
- name: "conv2_2/linear"
- type: "Convolution"
- bottom: "conv2_2/dwise/bn"
- top: "conv2_2/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 24
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv2_2/linear/bn"
- type: "BatchNorm"
- bottom: "conv2_2/linear"
- top: "conv2_2/linear/bn"
- }
- layer {
- name: "conv2_2/linear/scale"
- type: "Scale"
- bottom: "conv2_2/linear/bn"
- top: "conv2_2/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "conv3_1/expand"
- type: "Convolution"
- bottom: "conv2_2/linear/bn"
- top: "conv3_1/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 144
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv3_1/expand/bn"
- type: "BatchNorm"
- bottom: "conv3_1/expand"
- top: "conv3_1/expand/bn"
- }
- layer {
- name: "conv3_1/expand/scale"
- type: "Scale"
- bottom: "conv3_1/expand/bn"
- top: "conv3_1/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu3_1/expand"
- type: "ReLU"
- bottom: "conv3_1/expand/bn"
- top: "conv3_1/expand/bn"
- }
- layer {
- name: "conv3_1/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv3_1/expand/bn"
- top: "conv3_1/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 144
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 144
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv3_1/dwise/bn"
- type: "BatchNorm"
- bottom: "conv3_1/dwise"
- top: "conv3_1/dwise/bn"
- }
- layer {
- name: "conv3_1/dwise/scale"
- type: "Scale"
- bottom: "conv3_1/dwise/bn"
- top: "conv3_1/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu3_1/dwise"
- type: "ReLU"
- bottom: "conv3_1/dwise/bn"
- top: "conv3_1/dwise/bn"
- }
- layer {
- name: "conv3_1/linear"
- type: "Convolution"
- bottom: "conv3_1/dwise/bn"
- top: "conv3_1/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 24
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv3_1/linear/bn"
- type: "BatchNorm"
- bottom: "conv3_1/linear"
- top: "conv3_1/linear/bn"
- }
- layer {
- name: "conv3_1/linear/scale"
- type: "Scale"
- bottom: "conv3_1/linear/bn"
- top: "conv3_1/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "block_3_1"
- type: "Eltwise"
- bottom: "conv2_2/linear/bn"
- bottom: "conv3_1/linear/bn"
- top: "block_3_1"
- }
- layer {
- name: "conv3_2/expand"
- type: "Convolution"
- bottom: "block_3_1"
- top: "conv3_2/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 144
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv3_2/expand/bn"
- type: "BatchNorm"
- bottom: "conv3_2/expand"
- top: "conv3_2/expand/bn"
- }
- layer {
- name: "conv3_2/expand/scale"
- type: "Scale"
- bottom: "conv3_2/expand/bn"
- top: "conv3_2/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu3_2/expand"
- type: "ReLU"
- bottom: "conv3_2/expand/bn"
- top: "conv3_2/expand/bn"
- }
- layer {
- name: "conv3_2/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv3_2/expand/bn"
- top: "conv3_2/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 144
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 144
- stride: 2
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv3_2/dwise/bn"
- type: "BatchNorm"
- bottom: "conv3_2/dwise"
- top: "conv3_2/dwise/bn"
- }
- layer {
- name: "conv3_2/dwise/scale"
- type: "Scale"
- bottom: "conv3_2/dwise/bn"
- top: "conv3_2/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu3_2/dwise"
- type: "ReLU"
- bottom: "conv3_2/dwise/bn"
- top: "conv3_2/dwise/bn"
- }
- layer {
- name: "conv3_2/linear"
- type: "Convolution"
- bottom: "conv3_2/dwise/bn"
- top: "conv3_2/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 32
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv3_2/linear/bn"
- type: "BatchNorm"
- bottom: "conv3_2/linear"
- top: "conv3_2/linear/bn"
- }
- layer {
- name: "conv3_2/linear/scale"
- type: "Scale"
- bottom: "conv3_2/linear/bn"
- top: "conv3_2/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "conv4_1/expand"
- type: "Convolution"
- bottom: "conv3_2/linear/bn"
- top: "conv4_1/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 192
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv4_1/expand/bn"
- type: "BatchNorm"
- bottom: "conv4_1/expand"
- top: "conv4_1/expand/bn"
- }
- layer {
- name: "conv4_1/expand/scale"
- type: "Scale"
- bottom: "conv4_1/expand/bn"
- top: "conv4_1/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu4_1/expand"
- type: "ReLU"
- bottom: "conv4_1/expand/bn"
- top: "conv4_1/expand/bn"
- }
- layer {
- name: "conv4_1/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv4_1/expand/bn"
- top: "conv4_1/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 192
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 192
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv4_1/dwise/bn"
- type: "BatchNorm"
- bottom: "conv4_1/dwise"
- top: "conv4_1/dwise/bn"
- }
- layer {
- name: "conv4_1/dwise/scale"
- type: "Scale"
- bottom: "conv4_1/dwise/bn"
- top: "conv4_1/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu4_1/dwise"
- type: "ReLU"
- bottom: "conv4_1/dwise/bn"
- top: "conv4_1/dwise/bn"
- }
- layer {
- name: "conv4_1/linear"
- type: "Convolution"
- bottom: "conv4_1/dwise/bn"
- top: "conv4_1/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 32
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv4_1/linear/bn"
- type: "BatchNorm"
- bottom: "conv4_1/linear"
- top: "conv4_1/linear/bn"
- }
- layer {
- name: "conv4_1/linear/scale"
- type: "Scale"
- bottom: "conv4_1/linear/bn"
- top: "conv4_1/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "block_4_1"
- type: "Eltwise"
- bottom: "conv3_2/linear/bn"
- bottom: "conv4_1/linear/bn"
- top: "block_4_1"
- }
- layer {
- name: "conv4_2/expand"
- type: "Convolution"
- bottom: "block_4_1"
- top: "conv4_2/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 192
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv4_2/expand/bn"
- type: "BatchNorm"
- bottom: "conv4_2/expand"
- top: "conv4_2/expand/bn"
- }
- layer {
- name: "conv4_2/expand/scale"
- type: "Scale"
- bottom: "conv4_2/expand/bn"
- top: "conv4_2/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu4_2/expand"
- type: "ReLU"
- bottom: "conv4_2/expand/bn"
- top: "conv4_2/expand/bn"
- }
- layer {
- name: "conv4_2/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv4_2/expand/bn"
- top: "conv4_2/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 192
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 192
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv4_2/dwise/bn"
- type: "BatchNorm"
- bottom: "conv4_2/dwise"
- top: "conv4_2/dwise/bn"
- }
- layer {
- name: "conv4_2/dwise/scale"
- type: "Scale"
- bottom: "conv4_2/dwise/bn"
- top: "conv4_2/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu4_2/dwise"
- type: "ReLU"
- bottom: "conv4_2/dwise/bn"
- top: "conv4_2/dwise/bn"
- }
- layer {
- name: "conv4_2/linear"
- type: "Convolution"
- bottom: "conv4_2/dwise/bn"
- top: "conv4_2/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 32
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv4_2/linear/bn"
- type: "BatchNorm"
- bottom: "conv4_2/linear"
- top: "conv4_2/linear/bn"
- }
- layer {
- name: "conv4_2/linear/scale"
- type: "Scale"
- bottom: "conv4_2/linear/bn"
- top: "conv4_2/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "block_4_2"
- type: "Eltwise"
- bottom: "block_4_1"
- bottom: "conv4_2/linear/bn"
- top: "block_4_2"
- }
- layer {
- name: "conv4_3/expand"
- type: "Convolution"
- bottom: "block_4_2"
- top: "conv4_3/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 192
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv4_3/expand/bn"
- type: "BatchNorm"
- bottom: "conv4_3/expand"
- top: "conv4_3/expand/bn"
- }
- layer {
- name: "conv4_3/expand/scale"
- type: "Scale"
- bottom: "conv4_3/expand/bn"
- top: "conv4_3/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu4_3/expand"
- type: "ReLU"
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- type: "Convolution"
- bottom: "block_5_2"
- top: "conv5_3/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 576
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv5_3/expand/bn"
- type: "BatchNorm"
- bottom: "conv5_3/expand"
- top: "conv5_3/expand/bn"
- }
- layer {
- name: "conv5_3/expand/scale"
- type: "Scale"
- bottom: "conv5_3/expand/bn"
- top: "conv5_3/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu5_3/expand"
- type: "ReLU"
- bottom: "conv5_3/expand/bn"
- top: "conv5_3/expand/bn"
- }
- layer {
- name: "conv5_3/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv5_3/expand/bn"
- top: "conv5_3/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 576
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 576
- stride: 2
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv5_3/dwise/bn"
- type: "BatchNorm"
- bottom: "conv5_3/dwise"
- top: "conv5_3/dwise/bn"
- }
- layer {
- name: "conv5_3/dwise/scale"
- type: "Scale"
- bottom: "conv5_3/dwise/bn"
- top: "conv5_3/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu5_3/dwise"
- type: "ReLU"
- bottom: "conv5_3/dwise/bn"
- top: "conv5_3/dwise/bn"
- }
- layer {
- name: "conv5_3/linear"
- type: "Convolution"
- bottom: "conv5_3/dwise/bn"
- top: "conv5_3/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 160
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv5_3/linear/bn"
- type: "BatchNorm"
- bottom: "conv5_3/linear"
- top: "conv5_3/linear/bn"
- }
- layer {
- name: "conv5_3/linear/scale"
- type: "Scale"
- bottom: "conv5_3/linear/bn"
- top: "conv5_3/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "conv6_1/expand"
- type: "Convolution"
- bottom: "conv5_3/linear/bn"
- top: "conv6_1/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 960
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv6_1/expand/bn"
- type: "BatchNorm"
- bottom: "conv6_1/expand"
- top: "conv6_1/expand/bn"
- }
- layer {
- name: "conv6_1/expand/scale"
- type: "Scale"
- bottom: "conv6_1/expand/bn"
- top: "conv6_1/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu6_1/expand"
- type: "ReLU"
- bottom: "conv6_1/expand/bn"
- top: "conv6_1/expand/bn"
- }
- layer {
- name: "conv6_1/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv6_1/expand/bn"
- top: "conv6_1/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 960
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 960
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv6_1/dwise/bn"
- type: "BatchNorm"
- bottom: "conv6_1/dwise"
- top: "conv6_1/dwise/bn"
- }
- layer {
- name: "conv6_1/dwise/scale"
- type: "Scale"
- bottom: "conv6_1/dwise/bn"
- top: "conv6_1/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu6_1/dwise"
- type: "ReLU"
- bottom: "conv6_1/dwise/bn"
- top: "conv6_1/dwise/bn"
- }
- layer {
- name: "conv6_1/linear"
- type: "Convolution"
- bottom: "conv6_1/dwise/bn"
- top: "conv6_1/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 160
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv6_1/linear/bn"
- type: "BatchNorm"
- bottom: "conv6_1/linear"
- top: "conv6_1/linear/bn"
- }
- layer {
- name: "conv6_1/linear/scale"
- type: "Scale"
- bottom: "conv6_1/linear/bn"
- top: "conv6_1/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "block_6_1"
- type: "Eltwise"
- bottom: "conv5_3/linear/bn"
- bottom: "conv6_1/linear/bn"
- top: "block_6_1"
- }
- layer {
- name: "conv6_2/expand"
- type: "Convolution"
- bottom: "block_6_1"
- top: "conv6_2/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 960
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv6_2/expand/bn"
- type: "BatchNorm"
- bottom: "conv6_2/expand"
- top: "conv6_2/expand/bn"
- }
- layer {
- name: "conv6_2/expand/scale"
- type: "Scale"
- bottom: "conv6_2/expand/bn"
- top: "conv6_2/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu6_2/expand"
- type: "ReLU"
- bottom: "conv6_2/expand/bn"
- top: "conv6_2/expand/bn"
- }
- layer {
- name: "conv6_2/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv6_2/expand/bn"
- top: "conv6_2/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 960
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 960
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv6_2/dwise/bn"
- type: "BatchNorm"
- bottom: "conv6_2/dwise"
- top: "conv6_2/dwise/bn"
- }
- layer {
- name: "conv6_2/dwise/scale"
- type: "Scale"
- bottom: "conv6_2/dwise/bn"
- top: "conv6_2/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu6_2/dwise"
- type: "ReLU"
- bottom: "conv6_2/dwise/bn"
- top: "conv6_2/dwise/bn"
- }
- layer {
- name: "conv6_2/linear"
- type: "Convolution"
- bottom: "conv6_2/dwise/bn"
- top: "conv6_2/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 160
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv6_2/linear/bn"
- type: "BatchNorm"
- bottom: "conv6_2/linear"
- top: "conv6_2/linear/bn"
- }
- layer {
- name: "conv6_2/linear/scale"
- type: "Scale"
- bottom: "conv6_2/linear/bn"
- top: "conv6_2/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "block_6_2"
- type: "Eltwise"
- bottom: "block_6_1"
- bottom: "conv6_2/linear/bn"
- top: "block_6_2"
- }
- ########### below modification for ssd: stride 2 in 6_3
- layer {
- name: "conv6_3/expand"
- type: "Convolution"
- bottom: "block_6_2"
- top: "conv6_3/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 960
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv6_3/expand/bn"
- type: "BatchNorm"
- bottom: "conv6_3/expand"
- top: "conv6_3/expand/bn"
- }
- layer {
- name: "conv6_3/expand/scale"
- type: "Scale"
- bottom: "conv6_3/expand/bn"
- top: "conv6_3/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu6_3/expand"
- type: "ReLU"
- bottom: "conv6_3/expand/bn"
- top: "conv6_3/expand/bn"
- }
- layer {
- name: "conv6_3/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv6_3/expand/bn"
- top: "conv6_3/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 960
- bias_term: false
- pad: 1
- kernel_size: 3
- stride: 2
- group: 960
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv6_3/dwise/bn"
- type: "BatchNorm"
- bottom: "conv6_3/dwise"
- top: "conv6_3/dwise/bn"
- }
- layer {
- name: "conv6_3/dwise/scale"
- type: "Scale"
- bottom: "conv6_3/dwise/bn"
- top: "conv6_3/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu6_3/dwise"
- type: "ReLU"
- bottom: "conv6_3/dwise/bn"
- top: "conv6_3/dwise/bn"
- }
- layer {
- name: "conv6_3/linear"
- type: "Convolution"
- bottom: "conv6_3/dwise/bn"
- top: "conv6_3/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 320
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv6_3/linear/bn"
- type: "BatchNorm"
- bottom: "conv6_3/linear"
- top: "conv6_3/linear/bn"
- }
- layer {
- name: "conv6_3/linear/scale"
- type: "Scale"
- bottom: "conv6_3/linear/bn"
- top: "conv6_3/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- ##### below change all the end for ssd: add 6_4 and 6_5 on the model of bottleneck
- layer {
- name: "conv6_4/expand"
- type: "Convolution"
- bottom: "conv6_3/linear/bn"
- top: "conv6_4/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 1920
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv6_4/expand/bn"
- type: "BatchNorm"
- bottom: "conv6_4/expand"
- top: "conv6_4/expand/bn"
- }
- layer {
- name: "conv6_4/expand/scale"
- type: "Scale"
- bottom: "conv6_4/expand/bn"
- top: "conv6_4/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu6_4/expand"
- type: "ReLU"
- bottom: "conv6_4/expand/bn"
- top: "conv6_4/expand/bn"
- }
- layer {
- name: "conv6_4/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv6_4/expand/bn"
- top: "conv6_4/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 1920
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 1920
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv6_4/dwise/bn"
- type: "BatchNorm"
- bottom: "conv6_4/dwise"
- top: "conv6_4/dwise/bn"
- }
- layer {
- name: "conv6_4/dwise/scale"
- type: "Scale"
- bottom: "conv6_4/dwise/bn"
- top: "conv6_4/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu6_4/dwise"
- type: "ReLU"
- bottom: "conv6_4/dwise/bn"
- top: "conv6_4/dwise/bn"
- }
- layer {
- name: "conv6_4/linear"
- type: "Convolution"
- bottom: "conv6_4/dwise/bn"
- top: "conv6_4/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 320
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv6_4/linear/bn"
- type: "BatchNorm"
- bottom: "conv6_4/linear"
- top: "conv6_4/linear/bn"
- }
- layer {
- name: "conv6_4/linear/scale"
- type: "Scale"
- bottom: "conv6_4/linear/bn"
- top: "conv6_4/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "block_6_4"
- type: "Eltwise"
- bottom: "conv6_3/linear/bn"
- bottom: "conv6_4/linear/bn"
- top: "block_6_4"
- }
- layer {
- name: "conv6_5/expand"
- type: "Convolution"
- bottom: "block_6_4"
- top: "conv6_5/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 1920
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv6_5/expand/bn"
- type: "BatchNorm"
- bottom: "conv6_5/expand"
- top: "conv6_5/expand/bn"
- }
- layer {
- name: "conv6_5/expand/scale"
- type: "Scale"
- bottom: "conv6_5/expand/bn"
- top: "conv6_5/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu6_5/expand"
- type: "ReLU"
- bottom: "conv6_5/expand/bn"
- top: "conv6_5/expand/bn"
- }
- layer {
- name: "conv6_5/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv6_5/expand/bn"
- top: "conv6_5/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 1920
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 1920
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv6_5/dwise/bn"
- type: "BatchNorm"
- bottom: "conv6_5/dwise"
- top: "conv6_5/dwise/bn"
- }
- layer {
- name: "conv6_5/dwise/scale"
- type: "Scale"
- bottom: "conv6_5/dwise/bn"
- top: "conv6_5/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu6_5/dwise"
- type: "ReLU"
- bottom: "conv6_5/dwise/bn"
- top: "conv6_5/dwise/bn"
- }
- layer {
- name: "conv6_5/linear"
- type: "Convolution"
- bottom: "conv6_5/dwise/bn"
- top: "conv6_5/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 320
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv6_5/linear/bn"
- type: "BatchNorm"
- bottom: "conv6_5/linear"
- top: "conv6_5/linear/bn"
- }
- layer {
- name: "conv6_5/linear/scale"
- type: "Scale"
- bottom: "conv6_5/linear/bn"
- top: "conv6_5/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "block_6_5"
- type: "Eltwise"
- bottom: "block_6_4"
- bottom: "conv6_5/linear/bn"
- top: "block_6_5"
- }
- ##### as well as 7_1 and 7_2 and 7_3 : bottlenecks
- layer {
- name: "conv7_1/expand"
- type: "Convolution"
- bottom: "block_6_5"
- top: "conv7_1/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 1920
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv7_1/expand/bn"
- type: "BatchNorm"
- bottom: "conv7_1/expand"
- top: "conv7_1/expand/bn"
- }
- layer {
- name: "conv7_1/expand/scale"
- type: "Scale"
- bottom: "conv7_1/expand/bn"
- top: "conv7_1/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu7_1/expand"
- type: "ReLU"
- bottom: "conv7_1/expand/bn"
- top: "conv7_1/expand/bn"
- }
- layer {
- name: "conv7_1/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv7_1/expand/bn"
- top: "conv7_1/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 1920
- bias_term: false
- pad: 1
- kernel_size: 3
- stride: 2
- group: 1920
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv7_1/dwise/bn"
- type: "BatchNorm"
- bottom: "conv7_1/dwise"
- top: "conv7_1/dwise/bn"
- }
- layer {
- name: "conv7_1/dwise/scale"
- type: "Scale"
- bottom: "conv7_1/dwise/bn"
- top: "conv7_1/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu7_1/dwise"
- type: "ReLU"
- bottom: "conv7_1/dwise/bn"
- top: "conv7_1/dwise/bn"
- }
- layer {
- name: "conv7_1/linear"
- type: "Convolution"
- bottom: "conv7_1/dwise/bn"
- top: "conv7_1/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 640
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv7_1/linear/bn"
- type: "BatchNorm"
- bottom: "conv7_1/linear"
- top: "conv7_1/linear/bn"
- }
- layer {
- name: "conv7_1/linear/scale"
- type: "Scale"
- bottom: "conv7_1/linear/bn"
- top: "conv7_1/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "conv7_2/expand"
- type: "Convolution"
- bottom: "conv7_1/linear/bn"
- top: "conv7_2/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 3840
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv7_2/expand/bn"
- type: "BatchNorm"
- bottom: "conv7_2/expand"
- top: "conv7_2/expand/bn"
- }
- layer {
- name: "conv7_2/expand/scale"
- type: "Scale"
- bottom: "conv7_2/expand/bn"
- top: "conv7_2/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu7_2/expand"
- type: "ReLU"
- bottom: "conv7_2/expand/bn"
- top: "conv7_2/expand/bn"
- }
- layer {
- name: "conv7_2/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv7_2/expand/bn"
- top: "conv7_2/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 3840
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 3840
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv7_2/dwise/bn"
- type: "BatchNorm"
- bottom: "conv7_2/dwise"
- top: "conv7_2/dwise/bn"
- }
- layer {
- name: "conv7_2/dwise/scale"
- type: "Scale"
- bottom: "conv7_2/dwise/bn"
- top: "conv7_2/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu7_2/dwise"
- type: "ReLU"
- bottom: "conv7_2/dwise/bn"
- top: "conv7_2/dwise/bn"
- }
- layer {
- name: "conv7_2/linear"
- type: "Convolution"
- bottom: "conv7_2/dwise/bn"
- top: "conv7_2/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 640
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv7_2/linear/bn"
- type: "BatchNorm"
- bottom: "conv7_2/linear"
- top: "conv7_2/linear/bn"
- }
- layer {
- name: "conv7_2/linear/scale"
- type: "Scale"
- bottom: "conv7_2/linear/bn"
- top: "conv7_2/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "block_7_2"
- type: "Eltwise"
- bottom: "conv7_1/linear/bn"
- bottom: "conv7_2/linear/bn"
- top: "block_7_2"
- }
- layer {
- name: "conv7_3/expand"
- type: "Convolution"
- bottom: "block_7_2"
- top: "conv7_3/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 3840
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv7_3/expand/bn"
- type: "BatchNorm"
- bottom: "conv7_3/expand"
- top: "conv7_3/expand/bn"
- }
- layer {
- name: "conv7_3/expand/scale"
- type: "Scale"
- bottom: "conv7_3/expand/bn"
- top: "conv7_3/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu7_3/expand"
- type: "ReLU"
- bottom: "conv7_3/expand/bn"
- top: "conv7_3/expand/bn"
- }
- layer {
- name: "conv7_3/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv7_3/expand/bn"
- top: "conv7_3/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 3840
- bias_term: false
- pad: 1
- kernel_size: 3
- group: 3840
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv7_3/dwise/bn"
- type: "BatchNorm"
- bottom: "conv7_3/dwise"
- top: "conv7_3/dwise/bn"
- }
- layer {
- name: "conv7_3/dwise/scale"
- type: "Scale"
- bottom: "conv7_3/dwise/bn"
- top: "conv7_3/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu7_3/dwise"
- type: "ReLU"
- bottom: "conv7_3/dwise/bn"
- top: "conv7_3/dwise/bn"
- }
- layer {
- name: "conv7_3/linear"
- type: "Convolution"
- bottom: "conv7_3/dwise/bn"
- top: "conv7_3/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 640
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv7_3/linear/bn"
- type: "BatchNorm"
- bottom: "conv7_3/linear"
- top: "conv7_3/linear/bn"
- }
- layer {
- name: "conv7_3/linear/scale"
- type: "Scale"
- bottom: "conv7_3/linear/bn"
- top: "conv7_3/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "block_7_3"
- type: "Eltwise"
- bottom: "block_7_2"
- bottom: "conv7_3/linear/bn"
- top: "block_7_3"
- }
- # ##### 8_1 is 1x1 pixel large
- layer {
- name: "conv8_1/expand"
- type: "Convolution"
- bottom: "block_7_3"
- top: "conv8_1/expand"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 3840
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv8_1/expand/bn"
- type: "BatchNorm"
- bottom: "conv8_1/expand"
- top: "conv8_1/expand/bn"
- }
- layer {
- name: "conv8_1/expand/scale"
- type: "Scale"
- bottom: "conv8_1/expand/bn"
- top: "conv8_1/expand/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu8_1/expand"
- type: "ReLU"
- bottom: "conv8_1/expand/bn"
- top: "conv8_1/expand/bn"
- }
- layer {
- name: "conv8_1/dwise"
- type: "ConvolutionDepthwise"
- bottom: "conv8_1/expand/bn"
- top: "conv8_1/dwise"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 3840
- bias_term: false
- kernel_size: 1
- group: 3840
- weight_filler {
- type: "msra"
- }
- engine: CAFFE
- }
- }
- layer {
- name: "conv8_1/dwise/bn"
- type: "BatchNorm"
- bottom: "conv8_1/dwise"
- top: "conv8_1/dwise/bn"
- }
- layer {
- name: "conv8_1/dwise/scale"
- type: "Scale"
- bottom: "conv8_1/dwise/bn"
- top: "conv8_1/dwise/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- layer {
- name: "relu8_1/dwise"
- type: "ReLU"
- bottom: "conv8_1/dwise/bn"
- top: "conv8_1/dwise/bn"
- }
- layer {
- name: "conv8_1/linear"
- type: "Convolution"
- bottom: "conv8_1/dwise/bn"
- top: "conv8_1/linear"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- convolution_param {
- num_output: 1280
- bias_term: false
- kernel_size: 1
- weight_filler {
- type: "msra"
- }
- }
- }
- layer {
- name: "conv8_1/linear/bn"
- type: "BatchNorm"
- bottom: "conv8_1/linear"
- top: "conv8_1/linear/bn"
- }
- layer {
- name: "conv8_1/linear/scale"
- type: "Scale"
- bottom: "conv8_1/linear/bn"
- top: "conv8_1/linear/bn"
- param {
- lr_mult: 1
- decay_mult: 0
- }
- param {
- lr_mult: 1
- decay_mult: 0
- }
- scale_param {
- bias_term: true
- }
- }
- # layer {
- # name: "conv8_2/expand"
- # type: "Convolution"
- # bottom: "conv8_1/linear/bn"
- # top: "conv8_2/expand"
- # param {
- # lr_mult: 1
- # decay_mult: 1
- # }
- # convolution_param {
- # num_output: 7680
- # bias_term: false
- # kernel_size: 1
- # weight_filler {
- # type: "msra"
- # }
- # }
- # }
- # layer {
- # name: "conv8_2/expand/bn"
- # type: "BatchNorm"
- # bottom: "conv8_2/expand"
- # top: "conv8_2/expand/bn"
- # }
- # layer {
- # name: "conv8_2/expand/scale"
- # type: "Scale"
- # bottom: "conv8_2/expand/bn"
- # top: "conv8_2/expand/bn"
- # param {
- # lr_mult: 1
- # decay_mult: 0
- # }
- # param {
- # lr_mult: 1
- # decay_mult: 0
- # }
- # scale_param {
- # bias_term: true
- # }
- # }
- # layer {
- # name: "relu8_2/expand"
- # type: "ReLU"
- # bottom: "conv8_2/expand/bn"
- # top: "conv8_2/expand/bn"
- # }
- # layer {
- # name: "conv8_2/dwise"
- # type: "ConvolutionDepthwise"
- # bottom: "conv8_2/expand/bn"
- # top: "conv8_2/dwise"
- # param {
- # lr_mult: 1
- # decay_mult: 1
- # }
- # convolution_param {
- # num_output: 7680
- # bias_term: false
- # kernel_size: 1
- # group: 7680
- # weight_filler {
- # type: "msra"
- # }
- # engine: CAFFE
- # }
- # }
- # layer {
- # name: "conv8_2/dwise/bn"
- # type: "BatchNorm"
- # bottom: "conv8_2/dwise"
- # top: "conv8_2/dwise/bn"
- # }
- # layer {
- # name: "conv8_2/dwise/scale"
- # type: "Scale"
- # bottom: "conv8_2/dwise/bn"
- # top: "conv8_2/dwise/bn"
- # param {
- # lr_mult: 1
- # decay_mult: 0
- # }
- # param {
- # lr_mult: 1
- # decay_mult: 0
- # }
- # scale_param {
- # bias_term: true
- # }
- # }
- # layer {
- # name: "relu8_2/dwise"
- # type: "ReLU"
- # bottom: "conv8_2/dwise/bn"
- # top: "conv8_2/dwise/bn"
- # }
- # layer {
- # name: "conv8_2/linear"
- # type: "Convolution"
- # bottom: "conv8_2/dwise/bn"
- # top: "conv8_2/linear"
- # param {
- # lr_mult: 1
- # decay_mult: 1
- # }
- # convolution_param {
- # num_output: 1280
- # bias_term: false
- # kernel_size: 1
- # weight_filler {
- # type: "msra"
- # }
- # }
- # }
- # layer {
- # name: "conv8_2/linear/bn"
- # type: "BatchNorm"
- # bottom: "conv8_2/linear"
- # top: "conv8_2/linear/bn"
- # }
- # layer {
- # name: "conv8_2/linear/scale"
- # type: "Scale"
- # bottom: "conv8_2/linear/bn"
- # top: "conv8_2/linear/bn"
- # param {
- # lr_mult: 1
- # decay_mult: 0
- # }
- # param {
- # lr_mult: 1
- # decay_mult: 0
- # }
- # scale_param {
- # bias_term: true
- # }
- # }
- # layer {
- # name: "block_8_2"
- # type: "Eltwise"
- # bottom: "conv8_1/linear/bn"
- # bottom: "conv8_2/linear/bn"
- # top: "block_8_2"
- # }
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